---
title: "Heeyoung Lee — papers and cards"
description: "Heeyoung Lee: 3 paper cards in the Research library (2010–2013), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/heeyoung-lee/"
---
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# Heeyoung Lee

3 paper cards in the Research library · 2010–2013

Heeyoung Lee wrote 3 of the papers Mova reads, in 2010–2013, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/); often with [Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/), [Mihai Surdeanu](https://md.research.elamur.ai/free/en/authors/mihai-surdeanu/), [Nathanael Chambers](https://md.research.elamur.ai/free/en/authors/nathanael-chambers/).

[ORCID](https://orcid.org/0000-0003-3179-0386)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Heeyoung+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Heeyoung+Lee) · [dblp](https://dblp.org/search?q=Heeyoung+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Heeyoung+Lee) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Heeyoung+Lee)

Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 3

## Papers

1. **[Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules](https://md.research.elamur.ai/free/en/papers/lee-2013-deterministic-coreference-resolution-based-entity/)** *(2013)* `measured` This journal article is the full description of the Stanford multi-pass sieve coreference system, which won the CoNLL-2011 shared task.
2. **[Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task](https://md.research.elamur.ai/free/en/papers/lee-2011-stanford-s-multi-pass-sieve/)** *(2011)* The system is a sequence of deterministic sieves, ordered from highest to lowest precision. Each sieve links clusters, not single mentions, and the clusters share attributes such as gender, number and animacy. The authors add a high-recall mention-detection sieve in front. Its exclusion rules remove pleonastic "it"…
3. **[A Multi-Pass Sieve for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)** *(2010)* `measured` The paper proposes an unsupervised, deterministic coreference system built as a sequence of "sieves": independent rule-based passes applied from the most precise to the least precise.

## Co-authors (8)

- [Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/) ×3
- [Mihai Surdeanu](https://md.research.elamur.ai/free/en/authors/mihai-surdeanu/) ×3
- [Nathanael Chambers](https://md.research.elamur.ai/free/en/authors/nathanael-chambers/) ×3
- [Angel Chang](https://md.research.elamur.ai/free/en/authors/angel-chang/) ×2
- [Yves Peirsman](https://md.research.elamur.ai/free/en/authors/yves-peirsman/) ×2
- [Christopher Manning](https://md.research.elamur.ai/free/en/authors/christopher-manning/)
- Karthik Raghunathan
- Sudarshan Rangarajan

## More papers in the library (1)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Joint Entity and Event Coreference Resolution across Documents](https://md.research.elamur.ai/free/en/papers/lee-2012-joint-entity-event-coreference-resolution/) — Heeyoung Lee, Marta Recasens, Angel Chang, et al. · 2012
